Paper Title
Sentiment Analysis On Twitter
Abstract
Twitter is a well-known micro-blogging website which allows millions of users to share their views and opinions
on various matters. These tweets are displayed on the twitter UI and various users can interact with each other by using the
@redirection to include another username. The trending topics are displayed on the UI. A trending topic is one which is
currently the most popular. In this day and age where nearly a billion people have access to the internet to express their
views on their day to day activities, data mining and analyzing data from social networks can be difficult because of the large
amounts of data involved. Sentiment analysis, which is also called opinion mining is the field of study which analyzes
peoples opinions, sentiments, evaluations, appraisals, attributes and emotions towards entities such as products services,
organizations, individuals, issues, events, topics, and their attributes through twitter. Sentiment analysis on a website like
twitter can play a vital role in helping advertisers and market strategists. A sentiment analysis machine is a type of AI which
receives the tweets as its input and after evaluating the input, it will display the sentiment of the user. If implemented
properly sentiment analysis can be useful in predicting trends in the market as it provides an insight into the minds of users
and potential customers.
Index Terms—Sentiment, Analysis, Trending, Data Mining, Ar-tificial Intelligence.